Yale University, Smart Networks Lab

Projects:

• Current: Federated and split learning for personalization in transformer-driven models (i.e, Large Language Models (LLMS))

• Current: Pruning-based adaptive compression-aware split learning and inference for improved network efficiency

• Current: Deep reinforcement learning for distributed quantum computing

• Previous: Robust (to network configuration changes) SDN synchronization using DRL and transfer learning. Joint synchronization and placement using DRL

• Previous: Exploration of ML-driven methods (neural network and tree-based approaches) for Auto-scaling Virtual Network functions in cloud native RAN for 5G and beyond networks.

• Previous: Evolutionary algorithms to optimize scheduling in Time Sensitive Networks

• Previous: Implementation of blockchain as an enabler for decentralized digital ecosystems

• Previous: Integration of distributed protocols and SDN to improve performance and verification in wireless networks